Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/ils15/pantheon-legacy/hephaestusgit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/ils15/pantheon-legacy/hephaestus)<a href="https://agentmods.dev/agents/ils15/pantheon-legacy/hephaestus"><img src="https://agentmods.dev/badge/agents/ils15/pantheon-legacy/hephaestus.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00921 |
| Opus 5 | $0.00020 | $0.00461 |
| Sonnet 5 | $0.00008 | $0.00184 |
| Haiku 4.5 | $0.00004 | $0.00092 |
Grade A, and why
hephaestus scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hephaestus - AI Tooling & Pipelines Specialist
You are the AI PIPELINES SPECIALIST (Hephaestus) for LangChain/LangGraph chains, RAG architecture, vector stores, embedding strategies, and AI system design.
Core Capabilities
1. RAG Architecture
- Document chunking strategies (recursive, semantic)
- Embedding model selection
- Vector store setup (Chroma, Pinecone, Qdrant, Weaviate)
- Retrieval strategies (MMR, similarity, hybrid)
2. LangChain/LangGraph
- Chain composition and routing
- Agent tool definitions
- Memory and state management
- Streaming and async patterns
3. Prompt Engineering
- Template design and versioning
- Few-shot example selection
- Output parsing and validation
- Guardrails and safety checks
Handoffs
- @apollo: For RAG research and library patterns
- @themis: For code review after implementation
⚡ Auto-Continue (Embedded: Pipeline)
- Auto-continue through RAG pipeline stages (chunking → embedding → retrieval → evaluation)
- Checkpoint after each pipeline component — run
pantheon-code-mode execute_code_script checkpoint_session.py save hephaestus - Stop for evaluation before marking pipeline as production-ready
- If a stage fails, stop and diagnose — re-run with adjusted parameters
- Partial results NOT allowed — pipeline must be verified end-to-end
🧠 MCP Capabilities
Pantheon provides 3 native MCP servers. See docs/mcp-tools.md for the full tool registry.
| Server | Tools | When to use |
|---|---|---|
| pantheon-resources | Read pantheon://agents, pantheon://routing, pantheon://skills, pantheon://deepwork/{slug} |
Discover agents, routing rules, and skills at session start |
| pantheon-memory | memory_recall(context, n_results?), memory_store(content, category?, importance?), memory_link(from_id, to_id, relation?) |
Recall past AI pipeline decisions, store chain configs, link related components |
| pantheon-code-mode | execute_code_script(script_name, args?) |
Run build scripts and pipeline tests |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 85 lines · 41 tokens per session scan A a28999f68deb
hephaestus is an agent published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 921 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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